Computational Cancer Biology Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia.
Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC 3010, Australia.
Proc Natl Acad Sci U S A. 2017 Jun 13;114(24):6406-6411. doi: 10.1073/pnas.1617743114. Epub 2017 May 8.
Tumors of distinct tissues of origin and genetic makeup display common hallmark cellular phenotypes, including sustained proliferation, suppression of cell death, and altered metabolism. These phenotypic commonalities have been proposed to stem from disruption of conserved regulatory mechanisms evolved during the transition to multicellularity to control fundamental cellular processes such as growth and replication. Dating the evolutionary emergence of human genes through phylostratigraphy uncovered close association between gene age and expression level in RNA sequencing data from The Cancer Genome Atlas for seven solid cancers. Genes conserved with unicellular organisms were strongly up-regulated, whereas genes of metazoan origin were primarily inactivated. These patterns were most consistent for processes known to be important in cancer, implicating both selection and active regulation during malignant transformation. The coordinated expression of strongly interacting multicellularity and unicellularity processes was lost in tumors. This separation of unicellular and multicellular functions appeared to be mediated by 12 highly connected genes, marking them as important general drivers of tumorigenesis. Our findings suggest common principles closely tied to the evolutionary history of genes underlie convergent changes at the cellular process level across a range of solid cancers. We propose altered activity of genes at the interfaces between multicellular and unicellular regions of human gene regulatory networks activate primitive transcriptional programs, driving common hallmark features of cancer. Manipulation of cross-talk between biological processes of different evolutionary origins may thus present powerful and broadly applicable treatment strategies for cancer.
不同组织起源和遗传构成的肿瘤表现出共同的标志性细胞表型,包括持续增殖、抑制细胞死亡和代谢改变。这些表型的共性被认为源于调控机制的破坏,这些调控机制是在向多细胞生物进化过程中演变而来的,用于控制基本的细胞过程,如生长和复制。通过系统发生发生学对人类基因的进化起源进行时间测定,在七个实体瘤的癌症基因组图谱 RNA 测序数据中发现基因年龄与表达水平之间存在密切关联。与单细胞生物保守的基因被强烈上调,而多细胞生物起源的基因主要被失活。对于已知在癌症中重要的过程,这些模式最为一致,这表明在恶性转化过程中既有选择又有积极的调控。在肿瘤中,强烈相互作用的多细胞和单细胞过程的协调表达丢失了。这种单细胞和多细胞功能的分离似乎是由 12 个高度连接的基因介导的,这标志着它们是肿瘤发生的重要一般驱动因素。我们的研究结果表明,在一系列实体瘤中,与基因进化历史密切相关的共同原则是导致细胞过程水平趋同变化的基础。我们提出,人类基因调控网络中多细胞和单细胞区域之间的基因活性改变激活原始转录程序,驱动癌症的共同标志性特征。因此,操纵不同进化起源的生物过程之间的串扰可能为癌症提供强大且广泛适用的治疗策略。